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A context-driven privacy enforcement system for autonomous media capture devices

机译：自主媒体捕获设备的上下文驱动的隐私强制执行系统

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摘要

The evolution of the Internet of Things and the related market has renewed the concept of media recording and sharing by means of a new kind of home-consumer devices, capable of continuous and autonomous media capture and upload. Such technologies have already begun to tamper with people's privacy and discretion expectations, also raising many concerns about the potential legal implications. This work proposes an overall context-related privacy preserving system, based on context recognition. Our approach has been specifically developed considering contexts characterized by a high degree of similarity. The presented methodology has been devised in order to enforce privacy rules using image recognition techniques jointly with radio beacon technology. The reported results show that, in the peculiar environment considered in this paper, the use of radio beacon technology can help to increase the performances of image recognition techniques, both in terms of computational performances and elapsed time.
机译：事物互联网和相关市场的演变已经更新了媒体录制和共享的概念，通过一种能够连续和自主媒体捕获和上传的新型家庭消费设备。这些技术已经开始篡改人们的隐私和自由裁量权，也提出了许多关于潜在的法律影响的担忧。这项工作提出了一种基于上下文识别的整体上下文相关的隐私保留系统。我们的方法已经专门考虑了以高度相似性为特征的背景。已经设计了呈现的方法，以便使用与无线电信标技术共同的图像识别技术来强制实施隐私规则。据报道的结果表明，在本文考虑的特殊环境中，使用无线电信标技术可以帮助增加图像识别技术的性能，这两者都在计算性能和经过时间。

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